J
Jason Nieh
Researcher at Columbia University
Publications - 173
Citations - 6839
Jason Nieh is an academic researcher from Columbia University. The author has contributed to research in topics: Virtualization & Virtual machine. The author has an hindex of 43, co-authored 164 publications receiving 6517 citations. Previous affiliations of Jason Nieh include Stanford University & University of Amsterdam.
Papers
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Journal ArticleDOI
The design and implementation of Zap: a system for migrating computing environments
TL;DR: The paper demonstrates that the Linux Zap prototype can provide general-purpose process migration functionality with low overhead and results for migrating pods show that these kinds of pods can be migrated with subsecond checkpoint and restart latencies.
Proceedings ArticleDOI
A measurement study of google play
TL;DR: The usefulness of PlayDrone is demonstrated in decompiling and analyzing application content by exploring four previously unaddressed issues: the characterization of Google Play application content at large scale and its evolution over time, library usage in applications and its impact on application portability, duplicative application content in Google Play, and the ineffectiveness of OAuth and related service authentication mechanisms.
Proceedings ArticleDOI
The design, implementation and evaluation of SMART: a scheduler for multimedia applications
Jason Nieh,Monica S. Lam +1 more
TL;DR: SMART, a Scheduler for Multimedia And Real-Time applications is created and implemented in the Solaris UNIX operating system and measured its performance against other schedulers, demonstrating SMART’s superior performance in supporting multimedia applications.
Proceedings ArticleDOI
Cells: a virtual mobile smartphone architecture
TL;DR: Cells introduces a usage model of having one foreground virtual phone and multiple background virtual phones that enables a new device namespace mechanism and novel device proxies that integrate with lightweight operating system virtualization to multiplex phone hardware across multiple virtual phones while providing native hardware device performance.
Proceedings ArticleDOI
ASSURE: automatic software self-healing using rescue points
TL;DR: Experimental results show that ASSURE enabled recovery for all of the bugs tested with fast recovery times, has modest performance overhead, and provides automatic self-healing orders of magnitude faster than current human-driven patch deployment methods.